大数据人|大数据第一社区

 找回密码
 注册会员

扫一扫,访问微社区

Scrapy:python3下的第一次运行测试

2016-6-15 10:20| 发布者: 集搜客GooSeeker| 查看: 518| 评论: 0|原作者: 集搜客GooSeeker|来自: 集搜客社区

摘要: 《Scrapy的架构初探》一文讲解了Scrapy的架构,本文就实际来安装运行一下Scrapy爬虫。本文以官网的tutorial作为例子,完整的代码可以在github上下载。
1,引言

Scrapy的架构初探》一文讲解了Scrapy的架构,本文就实际来安装运行一下Scrapy爬虫。本文以官网的tutorial作为例子,完整的代码可以在github上下载

2,运行环境配置
  • 本次测试的环境是:Windows10, Python3.4.3 32bit
  • 安装Scrapy :   $ pip install Scrapy                 #实际安装时,由于服务器状态的不稳定,出现好几次中途退出的情况

3,编写运行第一个Scrapy爬虫

3.1. 生成一个新项目:tutorial
  1. $ scrapy startproject tutorial

项目目录结构如下:


3.2.  定义要抓取的item
  1. # -*- coding: utf-8 -*-

  2. # Define here the models for your scraped items
  3. #
  4. # See documentation in:
  5. # http://doc.scrapy.org/en/latest/topics/items.html

  6. import scrapy

  7. class DmozItem(scrapy.Item):
  8.     title = scrapy.Field()
  9.     link = scrapy.Field()
  10.     desc = scrapy.Field()

3.3. 定义Spider
  1. import scrapy
  2. from tutorial.items import DmozItem

  3. class DmozSpider(scrapy.Spider):
  4.     name = "dmoz"
  5.     allowed_domains = ["dmoz.org"]
  6.     start_urls = [
  7.         "http://www.dmoz.org/Computers/Programming/Languages/Python/Books/",
  8.         "http://www.dmoz.org/Computers/Programming/Languages/Python/Resources/"
  9.     ]

  10.     def parse(self, response):
  11.         for sel in response.xpath('//ul/li'):
  12.             item = DmozItem()
  13.             item['title'] = sel.xpath('a/text()').extract()
  14.             item['link'] = sel.xpath('a/@href').extract()
  15.             item['desc'] = sel.xpath('text()').extract()
  16.             yield item

3.4. 运行

  1. $ scrapy crawl dmoz -o item.json

1) 结果报错: 
   A) ImportError: cannot import name '_win32stdio'

   B) ImportError: No module named 'win32api'

2) 查错过程:查看官方的FAQstackoverflow上的信息,原来是scrapy在python3上测试还不充分,还有小问题。

3) 解决过程:
   A) 需要手工去下载
twisted/internet下的 _win32stdio 和 _pollingfile,存放到python目录的lib\sitepackages\twisted\internet下
   B) 下载并安装pywin32

再次运行,成功!在控制台上可以看到scrapy的输出信息,待运行完成退出后,到项目目录打开结果文件items.json, 可以看到里面以json格式存储的爬取结果

  1. [
  2. {"title": ["        About       "], "desc": [" ", " "], "link": ["/docs/en/about.html"]},
  3. {"title": ["   Become an Editor "], "desc": [" ", " "], "link": ["/docs/en/help/become.html"]},
  4. {"title": ["            Suggest a Site          "], "desc": [" ", " "], "link": ["/docs/en/add.html"]},
  5. {"title": [" Help             "], "desc": [" ", " "], "link": ["/docs/en/help/helpmain.html"]},
  6. {"title": [" Login                       "], "desc": [" ", " "], "link": ["/editors/"]},
  7. {"title": [], "desc": [" ", " Share via Facebook "], "link": []},
  8. {"title": [], "desc": [" ", "  Share via Twitter  "], "link": []},
  9. {"title": [], "desc": [" ", " Share via LinkedIn "], "link": []},
  10. {"title": [], "desc": [" ", " Share via e-Mail   "], "link": []},
  11. {"title": [], "desc": [" ", " "], "link": []},
  12. {"title": [], "desc": [" ", "  "], "link": []},
  13. {"title": ["        About       "], "desc": [" ", " "], "link": ["/docs/en/about.html"]},
  14. {"title": ["   Become an Editor "], "desc": [" ", " "], "link": ["/docs/en/help/become.html"]},
  15. {"title": ["            Suggest a Site          "], "desc": [" ", " "], "link": ["/docs/en/add.html"]},
  16. {"title": [" Help             "], "desc": [" ", " "], "link": ["/docs/en/help/helpmain.html"]},
  17. {"title": [" Login                       "], "desc": [" ", " "], "link": ["/editors/"]},
  18. {"title": [], "desc": [" ", " Share via Facebook "], "link": []},
  19. {"title": [], "desc": [" ", "  Share via Twitter  "], "link": []},
  20. {"title": [], "desc": [" ", " Share via LinkedIn "], "link": []},
  21. {"title": [], "desc": [" ", " Share via e-Mail   "], "link": []},
  22. {"title": [], "desc": [" ", " "], "link": []},
  23. {"title": [], "desc": [" ", "  "], "link": []}
  24. ]
第一次运行scrapy的测试成功

4,接下来的工作

接下来,我们将使用GooSeeker API来实现网络爬虫,省掉对每个item人工去生成和测试xpath的工作量。目前有2个计划:
  • 在gsExtractor中封装一个方法:从xslt内容中自动提取每个item的xpath
  • 从gsExtractor的提取结果中自动提取每个item的结果

具体选择哪个方案,将在接下来的实验中确定,并发布到gsExtractor新版本中

5,文档修改历史
2016-06-15:V1.0,首次发布

鲜花

握手

雷人

路过

鸡蛋

相关阅读

最新评论

关闭

站长推荐上一条 /2 下一条


id="mn_portal" >首页Portalid="mn_P18" onmouseover="navShow('P18')">应用id="mn_P15" onmouseover="navShow('P15')">技术id="mn_P37" onmouseover="showMenu({'ctrlid':this.id,'ctrlclass':'hover','duration':2})">前沿id="mn_P36" onmouseover="navShow('P36')">宝箱id="mn_P61" onmouseover="showMenu({'ctrlid':this.id,'ctrlclass':'hover','duration':2})">专栏id="mn_P65" >企业id="mn_Nd633" >导航 折叠导航 关注微信 关注微博 关注我们

QQ|广告服务|关于我们|Archiver|手机版|小黑屋|大数据人 ( 鄂ICP备14012176号-2  

GMT+8, 2024-5-4 20:33 , Processed in 0.200654 second(s), 22 queries .

Powered by 小雄! X3.2

© 2014-2020 bigdataer Inc.

返回顶部